Building a Personal Knowledge Recommendation System using Agents, Learning Ontologies and Web Mining

In this paper we consider a process which complements the learning process for building personal knowledge through the exchange of knowledge chains. This approach consists in the partial automatization of the process of creating knowledge chains, through the use of the technology from agents, ontologies and data mining. The agents will monitor all media used by the learner, and will classify its content using an ontology. From there, we want to create and recommend a chain to the learner. This point became important when we observed that the learners weren´t motivated to create their chains, which, normally, takes a lot of effort